Top AI Jobs in Singapore

The role involves architecting and optimizing AI models on GPU clusters for manufacturing processes, collaborating with multidisciplinary teams, and mentoring engineers.

As an AI/Data Science Intern in NAND Device Engineering, you will develop AI-driven automation workflows, intelligent decision-support tools, and data pipelines to enhance engineering processes in NAND technology.

The Principal of Strategic AI Sales is responsible for driving growth and building relationships with senior customers, collaborating on AI-focused projects, and helping enable teams with AI Decisioning tools.

Lead design and development of scalable data infrastructure and self-service tooling for data engineering teams. Provide technical leadership, implement robust systems (Kubernetes/Terraform/GitOps), ensure quality through testing and maintenance, troubleshoot production issues, and collaborate cross-functionally to deliver reliable data platforms.

As Product Manager, you will own the vision and roadmap for Mastercard's Responsible AI and Privacy Enhancing Technologies Toolkit, ensuring product features align with governance, privacy, and regulatory expectations, while driving adoption and product outcomes.

The role involves pioneering machine learning techniques, developing advanced AI models, building data pipelines, and translating prototypes into products in code analysis.

Lead strategy, roadmap, and execution for AI-powered fintech products. Build and ship ML/LLM-driven features (copilots, chatbots, recommendations), drive product-led growth initiatives, automate customer support, ensure responsible AI and compliance, launch across regions, and mentor other product managers.

Lead design and build of high-performance distributed data infrastructure and AI enablement platforms. Optimize systems internals and JVM performance, implement lakehouse and real-time streaming, develop scalable vector indexing and AI knowledge platform, own SDLC for petabyte-scale systems across global regions, drive engineering best practices, and mentor mid-level engineers.

Lead identification, prototyping, and production deployment of AI solutions to transform risk operations. Partner across Operations, Engineering, Data Science, Product, and Compliance to build, monitor, and iterate AI agents and low-code/no-code tools, ensuring regulatory compliance and operational scalability.

Lead a Singapore-based team to design, build, and maintain scalable data infrastructure and self-service developer tooling. Implement robust, maintainable systems, ensure quality through testing and troubleshooting, collaborate cross-functionally, and mentor engineers while staying current with emerging technologies.

Lead design, build, and operate distributed, large-scale (batch/streaming) data platforms and pipelines. Drive technical decisions, performance optimization, data architecture (lakehouse), tooling standards, third-party integration, and mentor junior engineers to enable company-wide data-driven capabilities.

Conduct market research and source deals in digital economy sectors; perform commercial and financial due diligence; structure and negotiate investments; support portfolio company value creation and corporate strategy; prepare investment memos and present to the Investment Committee.

The role involves leading technical product management and solution architecture for Responsible AI tools, ensuring implementations meet governance, usability, and scalability while collaborating with various stakeholders.

As a Credit Risk Specialist, you will design credit risk management solutions, analyze data to develop strategies, and oversee compliance with regulations.

The Senior AI Engineer designs and develops scalable AI/ML systems, operationalizes models, ensures reliability and observability, and mentors junior engineers.

Seeking a strategic Program Manager to deliver complex cross-functional initiatives, oversee program delivery, manage risks, and ensure stakeholder alignment.

Lead technical product strategy and solution architecture for AI capabilities in China. Define roadmaps, design deployable AI/LLM architectures across cloud/on-prem/sovereign environments, create reusable reference patterns, align stakeholders, and ensure adoption, trust, and operational readiness.

Lead end-to-end delivery of Mastercard's AI programmes in China, translating global capabilities into locally scalable solutions. Manage cross-functional stakeholders, client and partner co-development, programme roadmaps, governance, risk and documentation. Track outcomes, represent Mastercard in industry forums, and communicate progress and risks to senior regional and global leadership.

Support a 20-month research project testing an AI-enabled tagging system for digital portfolios. Duties include literature reviews, quantitative and qualitative data collection and analysis (SPSS, NVivo), assisting publications, presentations and reports, and administrative tasks. Collaborate with the PI and team, work independently, and apply AI-for-learning knowledge within teacher education.

Lead and execute Southeast Asia compliance strategy, advise senior management, manage regulatory engagement, oversee monitoring and policies, enable business growth through pragmatic compliance solutions, and modernize the function with tech and data-driven controls.

The internship involves hands-on learning in data analytics and machine learning. Interns will build data-driven models, perform statistical analyses, and communicate insights to improve process integration outcomes in semiconductor technology.

Lead the design, development, and integration of AI-powered applications while ensuring code quality and collaborating across teams. Ideal for engineers focused on automation and secure application engineering.

The Sales Development Representative will generate leads and manage the sales pipeline for Cisco ThousandEyes, focusing on AI-driven outreach and engagement, converting prospects into qualified leads for Account Executives.

The Engineering Manager will lead the Singpass team to develop Singapore's digital identity system, ensuring high-quality software delivery and team performance while nurturing team growth and collaboration.

The Engineering Manager will define the team's vision, manage product roadmaps, mentor engineers, and drive technical strategies for digital transformation in the public sector.